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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1184 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0343. Min Act: -0.0001

Data Index: 1312278 (C4 (Web Text))

Max Activating Token Index: 269

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Text #1

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Max Act: 0.0290. Min Act: -0.0001

Data Index: 1556472 (Python Code)

Max Activating Token Index: 22

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Text #2

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Max Act: 0.0275. Min Act: -0.0001

Data Index: 1608666 (Python Code)

Max Activating Token Index: 19

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Text #3

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Max Act: 0.0245. Min Act: -0.0001

Data Index: 1427276 (Python Code)

Max Activating Token Index: 234

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Text #4

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Data Index: 1457246 (Python Code)

Max Activating Token Index: 39

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Text #5

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Data Index: 1561384 (Python Code)

Max Activating Token Index: 99

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Text #6

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Data Index: 567372 (C4 (Web Text))

Max Activating Token Index: 320

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Text #7

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Data Index: 1392937 (Python Code)

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Text #8

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Data Index: 306441 (C4 (Web Text))

Max Activating Token Index: 251

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Text #9

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Data Index: 1365058 (Python Code)

Max Activating Token Index: 210

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Text #10

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Data Index: 1361397 (Python Code)

Max Activating Token Index: 19

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Text #11

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Data Index: 493997 (C4 (Web Text))

Max Activating Token Index: 614

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Text #12

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Data Index: 1577282 (Python Code)

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Text #13

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Data Index: 1457415 (Python Code)

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Text #14

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Data Index: 1360577 (Python Code)

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Text #15

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Data Index: 964521 (C4 (Web Text))

Max Activating Token Index: 401

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Text #16

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Data Index: 1549617 (Python Code)

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Text #17

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Data Index: 1503953 (Python Code)

Max Activating Token Index: 118

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Text #18

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Data Index: 1639811 (Python Code)

Max Activating Token Index: 103

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Text #19

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Max Act: 0.0239. Min Act: -0.0001

Data Index: 1410505 (Python Code)

Max Activating Token Index: 393

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